Artificial Intelligence Mediated Discovery and Bio-validation of novel regulators of nervous system stability.

这个工业案例研究的目标是提供机器学习数据集成方面的多学科培训，从而识别和生物验证能够调节神经系统稳态维持的因素。有公开访问和私人持有的研究信息资源，其人工智能介导的挖掘有望填补围绕神经系统稳定性调节的知识空白，反过来（超出本奖学金的范围），开发新的分层和精确的再生药物。这个工业案例结合了来自Massive Analytic的培训和对最先进平台的访问，以及跨学科的监督学术团队，将开发机器学习数据集成，从而识别（以及随后的生物验证）神经系统发育、体内平衡维持和产后衰老的调节因子。这些因素将是未来广泛应用的治疗干预措施的重点，以改善与年龄相关的健康跨度和对变性诱发刺激的反应。这将通过独特的学术/工业合作来实现，将工业合作伙伴Massive Analytic （https://www.massiveanalytic.com）提供的用于多模式数据分析的商业领先人工智能平台与神经丧失和功能障碍、多能干细胞技术以及医学中心信息学和机器学习方面的多学科人类和动物模型学术专业知识整合在一起。脑区域选择性神经元突触的丧失和功能障碍是“正常健康”衰老以及所有先天性和成年性神经系统疾病的特征。阐明与高龄和/或遗传扰动相关的突触改变如何使神经元变得脆弱，对于我们理解在健康和疾病中是什么调节神经系统的稳定性，以及神经保护策略的开发和设计至关重要。

The objective of this industrial case studentship is to provide multidisciplinary training in machine learned data-integration leading to the identification and bio-validation of factors capable of regulating homeostatic maintenance of the nervous system.There are publicly accessible and privately held research information resources whose artificial intelligence mediated mining promises to plug knowledge gaps surrounding the regulation of nervous system stability and in turn (outwith the scope of this studentship), development of novel stratified and precision regenerative medicines. This industrial case studentship combining training from Massive Analytic and access to state of the art platforms, with an interdisciplinary supervisory academic team will develop machine learned data-integration leading to the identification (and subsequent bio-validation) of regulators of nervous system development, homeostatic maintenance and postnatal ageing. Such factors would be future foci of broadly applicable therapeutic interventions to improve age related health span and response to degeneration inducing stimuli. This will be achieved through a unique academic/industrial collaboration to integrate commercially leading artificial intelligence platforms for multimodal data analysis provided by an industrial partner, Massive Analytic (https://www.massiveanalytic.com) with multidisciplinary academic human and animal model expertise in neuronal loss and dysfunction, pluripotent stem cell technology, and medical centric informatics and machine learning.Loss and dysfunction of brain region selective neuronal synapses is a characteristic feature of "normal healthy" ageing as well as all congenital and adult onset neurological disorders. Elucidating how synaptic alterations associated with advancing-age and/or genetic perturbations leave a neuron vulnerable is essential for our understanding of what regulates nervous system stability in health and disease, but also to the development and design of neuroprotective strategies.